Optimization Study of Flexible Job Shop Scheduling Based on NSGA-Ⅱ
Taking the flexible job shop of Company H as the research object,the existence flexible flexible job shop scheduling problems is optimized by combining the scheduling data,the multi-objective optimization model is constructed and Non-dominated Sorting Genetic Algorithms Ⅱ(NSGA-Ⅱ)is used to solve the existence flexible flexible job shop scheduling problems.Comparative analysis shows that the scheduling scheme after multi-objective combination optimization has more advantageous in guiding the production scheduling.
production schedulingNon-dominated Sorting Genetic Algorithms Ⅱ(NSGA-Ⅱ)flexible job shop
万方数据
维普
